🧪 The AI Lab 👩‍🏫 Teacher's Guide← All labs
🤖 Chapter 1 — Introduction to AI & Everyday Examples

What intelligence means, the story of AI (from ancient automatons to the Turing Test to modern AI), how to tell AI from automation, and the three ways machines learn.

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### What is AI?

Types of intelligence, an AI history timeline, a Turing Test game, and Automation-vs-AI.

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### AI Around Us

Where AI shows up in daily life — health, transport, homes, shopping and more.

Play → 🗂️🗂️

### Supervised Learning Labelled data

Learn from labelled examples and sort new things — machine learning type 1.

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### Unsupervised Learning No labels

Find groups in unlabelled data all by itself — machine learning type 2.

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### Reinforcement Learning Rewards

A robot learns by trial & reward — machine learning type 3.

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🗂️ Chapter 2 — Basic Data Concepts
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### Basic Data Concepts

Sort the 5 types of data (numbers, text, image, video, sound), then build a bar chart and a pictogram from real school examples.

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🔁 Chapter 3 — Pattern Recognition & Decision Making
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### Patterns & Decisions

Continue the pattern, make observations from a chart, then decide what to do — the heart of data science.

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🔐 Chapter 4 — Ethics & Digital Responsibility
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### Ethics & Digital Safety

Spot phishing, spam, hacking & plagiarism, build a strong password, and sort your digital footprint into active vs passive.

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Class 6 · The AI Lab · everything runs in your browser, no internet needed